OpenML
Supervised Classification on la2s.wc

Supervised Classification on la2s.wc

Task 3528 Supervised Classification la2s.wc 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7945, kappa: 0.7416, kb_relative_information_score: 2179.8945, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7961, predictive_accuracy: 0.7951, prior_entropy: 2.4305, recall: 0.7951, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.4214, kappa: 0.3059, kb_relative_information_score: 1086.5449, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.577, predictive_accuracy: 0.4267, prior_entropy: 2.4305, recall: 0.4267, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 951.6466, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7067, kappa: 0.6358, kb_relative_information_score: 2043.5048, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7641, predictive_accuracy: 0.7015, prior_entropy: 2.4305, recall: 0.7015, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7813, kappa: 0.7257, kb_relative_information_score: 2204.0264, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7825, predictive_accuracy: 0.7818, prior_entropy: 2.4305, recall: 0.7818, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7694, kappa: 0.7113, kb_relative_information_score: 2214.4336, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7689, predictive_accuracy: 0.7701, prior_entropy: 2.4305, recall: 0.7701, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.275, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7615, kappa: 0.6975, kb_relative_information_score: 2202.5426, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7857, predictive_accuracy: 0.7564, prior_entropy: 2.4305, recall: 0.7564, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8845, kappa: 0.8564, kb_relative_information_score: 2120.4345, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8916, predictive_accuracy: 0.8868, prior_entropy: 2.4305, recall: 0.8868, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5535, scimark_benchmark: 1392.9314, usercpu_time_millis: 1439240, usercpu_time_millis_testing: 11490, usercpu_time_millis_training: 1427750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.7677, kappa: 0.7093, kb_relative_information_score: 2142.0036, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.767, predictive_accuracy: 0.7688, prior_entropy: 2.4305, recall: 0.7688, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6928, scimark_benchmark: 942.7006, usercpu_time_millis: 518780, usercpu_time_millis_testing: 6880, usercpu_time_millis_training: 511900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7615, kappa: 0.6975, kb_relative_information_score: 2202.5426, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7857, predictive_accuracy: 0.7564, prior_entropy: 2.4305, recall: 0.7564, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.7802, scimark_benchmark: 901.458, usercpu_time_millis: 122570, usercpu_time_millis_testing: 89830, usercpu_time_millis_training: 32740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.4214, kappa: 0.3059, kb_relative_information_score: 1085.5173, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.577, predictive_accuracy: 0.4267, prior_entropy: 2.4305, recall: 0.4267, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1986, scimark_benchmark: 925.9546, usercpu_time_millis: 54520, usercpu_time_millis_testing: 39480, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.3902, kappa: 0.3197, kb_relative_information_score: 877.3688, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.38, predictive_accuracy: 0.5119, prior_entropy: 2.4305, recall: 0.5119, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8711, scimark_benchmark: 906.3558, usercpu_time_millis: 2421640, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2421560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1338, kb_relative_information_score: 41.905, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0007, scimark_benchmark: 766.2693, usercpu_time_millis: 9592880, usercpu_time_millis_testing: 1302510, usercpu_time_millis_training: 8290370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 810.8993, usercpu_time_millis: 27190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 27180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7721, kappa: 0.7174, kb_relative_information_score: 2336.3884, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7848, predictive_accuracy: 0.7737, prior_entropy: 2.4305, recall: 0.7737, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.6475, scimark_benchmark: 833.4476, usercpu_time_millis: 1905500, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 1903370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7787, kappa: 0.7205, kb_relative_information_score: 2204.976, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7933, predictive_accuracy: 0.7776, prior_entropy: 2.4305, recall: 0.7776, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6211, scimark_benchmark: 1193.2341, usercpu_time_millis: 1699310, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 1697190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.3768, kappa: 0.2613, kb_relative_information_score: 1089.1994, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6243, predictive_accuracy: 0.3792, prior_entropy: 2.4305, recall: 0.3792, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.1259, scimark_benchmark: 1201.6316, usercpu_time_millis: 57400, usercpu_time_millis_testing: 57390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.793, kappa: 0.739, kb_relative_information_score: 2291.2639, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8013, predictive_accuracy: 0.7922, prior_entropy: 2.4305, recall: 0.7922, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.6143, scimark_benchmark: 1108.7481, usercpu_time_millis: 2087160, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 2085400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7699, kappa: 0.7118, kb_relative_information_score: 2101.3569, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7712, predictive_accuracy: 0.7707, prior_entropy: 2.4305, recall: 0.7707, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.6655, scimark_benchmark: 972.4181, usercpu_time_millis: 2169750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2169720,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.6731, kappa: 0.6013, kb_relative_information_score: 1946.1868, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7328, predictive_accuracy: 0.6712, prior_entropy: 2.4305, recall: 0.6712, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.8958, scimark_benchmark: 1089.5791, usercpu_time_millis: 1718090, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1717650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8602, kappa: 0.8252, kb_relative_information_score: 2296.432, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 2.4305, recall: 0.8615, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.5341, scimark_benchmark: 961.7901, usercpu_time_millis: 1683050, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 1681920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7067, kappa: 0.6358, kb_relative_information_score: 2043.5048, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7641, predictive_accuracy: 0.7015, prior_entropy: 2.4305, recall: 0.7015, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8212, scimark_benchmark: 438.9223, usercpu_time_millis: 2290650, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 2290030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7855, kappa: 0.7288, kb_relative_information_score: 2274.1628, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7885, predictive_accuracy: 0.7837, prior_entropy: 2.4305, recall: 0.7837, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7259, scimark_benchmark: 1025.2158, usercpu_time_millis: 1550610, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 1548890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.2421, kappa: 0.1525, kb_relative_information_score: 793.2068, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6816, predictive_accuracy: 0.2771, prior_entropy: 2.4305, recall: 0.2771, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.1819, scimark_benchmark: 1296.7758, usercpu_time_millis: 49380, usercpu_time_millis_testing: 49370, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.2934, kappa: 0.197, kb_relative_information_score: 907.3642, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6587, predictive_accuracy: 0.3177, prior_entropy: 2.4305, recall: 0.3177, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.42, root_relative_squared_error: 1.1527, scimark_benchmark: 1328.2507, usercpu_time_millis: 52690, usercpu_time_millis_testing: 52680, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8626, kappa: 0.8278, kb_relative_information_score: 984.2162, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8637, predictive_accuracy: 0.8631, prior_entropy: 2.4305, recall: 0.8631, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8713, scimark_benchmark: 688.3544, usercpu_time_millis: 23390, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 20050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8069, kappa: 0.7567, kb_relative_information_score: 2228.0923, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8087, predictive_accuracy: 0.8068, prior_entropy: 2.4305, recall: 0.8068, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.6427, scimark_benchmark: 1327.865, usercpu_time_millis: 2178710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2178690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8069, kappa: 0.7567, kb_relative_information_score: 2228.0923, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8087, predictive_accuracy: 0.8068, prior_entropy: 2.4305, recall: 0.8068, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.6427, scimark_benchmark: 1241.2339, usercpu_time_millis: 2103290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2103270,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7615, kappa: 0.6975, kb_relative_information_score: 2202.5426, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7857, predictive_accuracy: 0.7564, prior_entropy: 2.4305, recall: 0.7564, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.7802, scimark_benchmark: 1180.8849, usercpu_time_millis: 130550, usercpu_time_millis_testing: 111820, usercpu_time_millis_training: 18730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1, scimark_benchmark: 1138.7205, usercpu_time_millis: 132330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 132320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8262, kappa: 0.7947, kb_relative_information_score: 1593.3462, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8618, predictive_accuracy: 0.8403, prior_entropy: 2.4305, recall: 0.8403, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6954, scimark_benchmark: 1307.5965, usercpu_time_millis: 117880, usercpu_time_millis_testing: 3920, usercpu_time_millis_training: 113960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7945, kappa: 0.7416, kb_relative_information_score: 2179.8945, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7961, predictive_accuracy: 0.7951, prior_entropy: 2.4305, recall: 0.7951, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.643, scimark_benchmark: 1049.7691, usercpu_time_millis: 133620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 133610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.4214, kappa: 0.3059, kb_relative_information_score: 1085.5173, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.577, predictive_accuracy: 0.4267, prior_entropy: 2.4305, recall: 0.4267, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1986, scimark_benchmark: 988.8543, usercpu_time_millis: 43240, usercpu_time_millis_testing: 43240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.773, kappa: 0.7158, kb_relative_information_score: 2216.9202, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7726, predictive_accuracy: 0.7737, prior_entropy: 2.4305, recall: 0.7737, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7295, scimark_benchmark: 1121.4653, usercpu_time_millis: 698600, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 698530,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.0324, kappa: 0.0029, kb_relative_information_score: 82.2736, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5655, predictive_accuracy: 0.1249, prior_entropy: 2.4305, recall: 0.1249, relative_absolute_error: 1.0987, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.4824, scimark_benchmark: 1339.4189, usercpu_time_millis: 1215880, usercpu_time_millis_testing: 219490, usercpu_time_millis_training: 996390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.785, kappa: 0.7321, kb_relative_information_score: 2268.7404, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7852, predictive_accuracy: 0.786, prior_entropy: 2.4305, recall: 0.786, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7172, scimark_benchmark: 1339.4189, usercpu_time_millis: 994810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 994770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 951.6466, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1573, scimark_benchmark: 1351.788, usercpu_time_millis: 10080, usercpu_time_millis_training: 10080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.772, kappa: 0.7132, kb_relative_information_score: 2236.7504, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7725, predictive_accuracy: 0.772, prior_entropy: 2.4305, recall: 0.772, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.7566, scimark_benchmark: 1480.5705, usercpu_time_millis: 3355140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3355120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1, scimark_benchmark: 1503.3362, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.773, kappa: 0.7158, kb_relative_information_score: 2216.9202, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7726, predictive_accuracy: 0.7737, prior_entropy: 2.4305, recall: 0.7737, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7295, scimark_benchmark: 1330.0803, usercpu_time_millis: 489530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 489490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.794, kappa: 0.7411, kb_relative_information_score: 2331.8958, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8085, predictive_accuracy: 0.7922, prior_entropy: 2.4305, recall: 0.7922, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6924, scimark_benchmark: 938.2848, usercpu_time_millis: 2397450, usercpu_time_millis_testing: 824200, usercpu_time_millis_training: 1573250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8192, kappa: 0.7741, kb_relative_information_score: 2415.1834, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8253, predictive_accuracy: 0.8192, prior_entropy: 2.4305, recall: 0.8192, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.655, scimark_benchmark: 889.9795, usercpu_time_millis: 5077740, usercpu_time_millis_testing: 1644370, usercpu_time_millis_training: 3433370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9001, kappa: 0.8744, kb_relative_information_score: 2691.7124, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.9006, predictive_accuracy: 0.9002, prior_entropy: 2.4305, recall: 0.9002, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4399, scimark_benchmark: 945.7621, usercpu_time_millis: 33246320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33246310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8099, kappa: 0.7631, kb_relative_information_score: 2384.2953, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8151, predictive_accuracy: 0.8101, prior_entropy: 2.4305, recall: 0.8101, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6411, scimark_benchmark: 934.5243, usercpu_time_millis: 2763400, usercpu_time_millis_testing: 821810, usercpu_time_millis_training: 1941590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8099, kappa: 0.7631, kb_relative_information_score: 2384.2953, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8151, predictive_accuracy: 0.8101, prior_entropy: 2.4305, recall: 0.8101, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6411, scimark_benchmark: 908.0036, usercpu_time_millis: 2795110, usercpu_time_millis_testing: 837940, usercpu_time_millis_training: 1957170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 936.7115, usercpu_time_millis: 24030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 24020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 936.7115, usercpu_time_millis: 23570, usercpu_time_millis_training: 23570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 938.2848, usercpu_time_millis: 22530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9117, kappa: 0.89, kb_relative_information_score: 2745.8362, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.9125, predictive_accuracy: 0.9125, prior_entropy: 2.4305, recall: 0.9125, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.4673, scimark_benchmark: 926.6717, usercpu_time_millis: 147670220, usercpu_time_millis_testing: 13940, usercpu_time_millis_training: 147656280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 933.8635, usercpu_time_millis: 23530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 23520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 938.4285, usercpu_time_millis: 19510, usercpu_time_millis_training: 19510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8426, kappa: 0.8019, kb_relative_information_score: 2320.1867, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8441, predictive_accuracy: 0.8429, prior_entropy: 2.4305, recall: 0.8429, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5488, scimark_benchmark: 923.7642, usercpu_time_millis: 91088160, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 91086800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8845, kappa: 0.8545, kb_relative_information_score: 2607.4406, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8852, predictive_accuracy: 0.8842, prior_entropy: 2.4305, recall: 0.8842, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.4652, scimark_benchmark: 942.6953, usercpu_time_millis: 17901130, usercpu_time_millis_training: 17901130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8789, kappa: 0.8475, kb_relative_information_score: 2526.5786, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8796, predictive_accuracy: 0.8787, prior_entropy: 2.4305, recall: 0.8787, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4821, scimark_benchmark: 932.3943, usercpu_time_millis: 8190820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8190810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8648, kappa: 0.8306, kb_relative_information_score: 2418.8521, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8656, predictive_accuracy: 0.8654, prior_entropy: 2.4305, recall: 0.8654, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5129, scimark_benchmark: 923.3111, usercpu_time_millis: 4220160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4220150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8251, kappa: 0.7798, kb_relative_information_score: 2214.4341, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8269, predictive_accuracy: 0.8257, prior_entropy: 2.4305, recall: 0.8257, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5742, scimark_benchmark: 942.6953, usercpu_time_millis: 2237490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2237450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8251, kappa: 0.7798, kb_relative_information_score: 2214.4341, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8269, predictive_accuracy: 0.8257, prior_entropy: 2.4305, recall: 0.8257, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5742, scimark_benchmark: 933.1776, usercpu_time_millis: 2051900, usercpu_time_millis_training: 2051900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.7354, kappa: 0.6773, kb_relative_information_score: 1614.8688, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7434, predictive_accuracy: 0.747, prior_entropy: 2.4305, recall: 0.747, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7238, scimark_benchmark: 932.3943, usercpu_time_millis: 18150, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 17910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.677, kappa: 0.5912, kb_relative_information_score: 1673.371, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6943, predictive_accuracy: 0.681, prior_entropy: 2.4305, recall: 0.681, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.7364, scimark_benchmark: 943.6956, usercpu_time_millis: 335480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 335460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8572, kappa: 0.8203, kb_relative_information_score: 2307.5551, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8585, predictive_accuracy: 0.8576, prior_entropy: 2.4305, recall: 0.8576, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.5302, scimark_benchmark: 910.8389, usercpu_time_millis: 7409060, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 7408490,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs